Outlier Mining Model Based on ICA & SVM
基于ICA与SVM的孤立点挖掘模型

ISOM,Outlier Mining Model Based on ICA & SVM,is presented in this paper.This model transforms an observed multidimensional random vector into mutually independent components by ICA and estimates independent components' density function by SVM.Overcoming the defects of traditional outlier mining,the model of ISOM pro- vides an efficient method for data mining,and its correctness and reasonableness ars also validated by the experiment results in this paper.